Semester Plan


S#
Task
From Date
To Date
Status
Priority
1.
To Complete Datamining Paper
1 Aug
15 Aug
Complete
High
2.
Studying First Order Logic
8 Aug
12 Aug
Complete
Medium
3.
Read book on Risk Management + Papers
-
-
Not started yet
Low
4.
Brushup Ontology concept (Protege + Predicate Logic)
12 Aug
-
Complete
Medium
5.
Preparation of Conference Presentation
-
-
Complete
Low
6.
IBAyes 2.0 Implementation
10 Aug
15 Sep
Started
Medium
7.
Reading Material for Opinion/Blog Mining Papers
15 Aug
1 Dec
In progress
Medium
8.
Extension of AML work for journal
-
-
Not started yet
Medium
9.
Lecture Preparation for Course
1 Sep
15 Sep
Complete
Medium
10.
GRE Preparation
-
-
Not started yet
Medium


Reading Material:


Papers Read:

1) Sentiment Analysis and Subjectivity : Book Chapter Handbook of NLP 2010
2) Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews: Turney 2002
3) Sentiment Analyzer: Extracting sentiments about a given topic using Natural Language Processing Techniques: Nasukawa 2003
4) Mining and Sumarizing customer Reviews: Bing Liu 2004
5) Extracting Product Features and Opinions from reviews : Etzioni 2005
6) A holistic Lexicon based Approach to Opinion Mining: Bing Liu 2008
7) Expanding domain sentiment lexicon through double propagation: Bing Liu 2009
8) Working on Sentiment Analysis on Twitter with Portuguese language (article) 2009
9) Sentiment Analysis of Movie Review Comments: Kuat 2009
10) Ontology based combined approach for sentiment classification Khin Phyu 2008

Currently Reading:

1) Mining Opinions from the web: Beyond Relevance retrieval : Lun Wei 2007
2) Hidden Sentiment Association in Chinese Web Opinion Mining 2008
3) Structured Models for fine-to-coarse sentiment analysis :Donald 2008
4) Recognizing Contextual Polarity: An exploration for Features for phrase level sentiment analysis: Theresa Wilson 2009
5) Sentiment Analysis in Multiple Languages: Feature selection for opinion classification in web forums: Ahmed Abbasi 2008
6) Topic-wise, Sentiment-wise or otherwise? Identifying the hidden dimensions for unsupervised text classification Dasgupta 2009

Tools Explored:




1) Downloaded Wordnet.net project and tested it http://wordnet.princeton.edu/ http://code.google.com/p/wordnetdotnet/source/browse/
2) Downloaded Python and used started Natural Language Processing Toolkit http://www.python.org/download/
3) Downloaded Brill Tagger for Part-of-Speech Tagging http://www.cst.dk/online/pos_tagger/uk/index.html

S#
Paper
Author
Status
Main Focus / Summary
1.
Applied Text Analytics for Blogs
PhD. dissertation Gilad Mishne


2.
Integrity Proximity to Subjective Sentences for Blog Opinion Retrieval
Rodrygo Santos


3.
Learning Multilingual subjective Language via Cross-Lingual Projections
Rada Mihalcea


4.
Capturing Global Mood Levels using Blog Posts
Gilad Mishne


5.
Use of Ontologies in Open Source Blogmining
Brian Ulicny


6.
Extracting Causation Knowledge from Natural Language Texts
Ki Chan


7.
Blogmining through opinionated words
Maria Simi


8.
Mining Opinions from the Web: Beyond Relevance Retrieval
Lun Wei Ku


9.
Using Ontology to improve precision of terminology extraction from documents
Wen Zhang


10.
Video Lectures /Presentations



11.
A Practical Risk Management framework for intelligent information systems
Xun Wang


12.
Belief functions based parameter passing
Sajjad


13.
A graphical model for risk analysis and management
Xun Wang


14.
Ontology based Influence Net construction
Faisal Mansoor